| imports: | |
| - $import os | |
| - $import glob | |
| - $import torch | |
| - $import scripts | |
| - $import scripts.inference | |
| device: '$torch.device("cuda" if torch.cuda.is_available() else "cpu")' | |
| model_config: | |
| _target_: scripts.exaonepath.EXAONEPathV1Downstream | |
| step_size: 256 | |
| patch_size: 256 | |
| macenko: true | |
| device: '$@device' | |
| model: '$@model_config' | |
| input_dir: 'samples' | |
| input_files: '$sorted(glob.glob(@input_dir+''/*.svs''))' | |
| root_dir: '$os.path.dirname(os.path.dirname(scripts.__file__))' | |
| inference: | |
| - [email protected]_state_dict(torch.load(os.path.join(@root_dir, "models/exaonepath_v1.0.0_msi.pt"))) | |
| - $scripts.inference.infer(@model, @input_files) | |